code: def stats(self):
      return {
          "step_size": np.exp(self._log_step),
          "step_size_bar": np.exp(self._log_bar),
      }
  
file_path: pymc/pymc/step_methods/step_sizes.py
imports: import numpy
  from scipy import stats
  from pymc.stats.convergence import SamplerWarning, WarningType
label_desc: Use image node_id 5 for calling the DualAverageAdaptation obj's underlying member method code with example usage: obj.stats() and returns: dict